Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Efficient Deep Reinforcement Learning Requires Regulating Overfitting

20 April 2023

Papers citing "Efficient Deep Reinforcement Learning Requires Regulating Overfitting"

15 / 15 papers shown

Title
Hyperspherical Normalization for Scalable Deep Reinforcement Learning Hojoon Lee Youngdo Lee Takuma Seno Donghu Kim Peter Stone Jaegul Choo 63 1 0 24 Feb 2025
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 106 2 0 23 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 39 1 0 11 Oct 2024
Bigger, Regularized, Optimistic: scaling for compute and sample-efficient continuous control Michal Nauman M. Ostaszewski Krzysztof Jankowski Piotr Milo's Marek Cygan OffRL 37 16 0 25 May 2024
The Curse of Diversity in Ensemble-Based Exploration Zhixuan Lin P. DÓro Evgenii Nikishin Aaron C. Courville 40 1 0 07 May 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 25 0 0 31 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning Michal Nauman Michal Bortkiewicz Piotr Milo's Tomasz Trzciñski M. Ostaszewski Marek Cygan OffRL 22 16 0 01 Mar 2024
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 27 1 0 30 Oct 2023
One is More: Diverse Perspectives within a Single Network for Efficient DRL Yiqin Tan Ling Pan Longbo Huang OffRL 30 0 0 21 Oct 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 26 9 0 29 May 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 88 178 0 16 May 2022
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 57 23 0 21 Oct 2021
A Workflow for Offline Model-Free Robotic Reinforcement Learning Aviral Kumar Anika Singh Stephen Tian Chelsea Finn Sergey Levine OffRL 138 84 0 22 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,951 0 04 May 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 261 9,134 0 06 Jun 2015